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Intempt

Replace 'when did we last clean the CRM?' with a standing weekly audit

CRM hygiene almost never happens on a schedule unless something forces it. This scans for duplicates, stale records, and missing fields every week and batches the fixes into a review queue.

Salesworkflow-builderB2BSaaSAdvanced9 steps2 outputs
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Workflow Step
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What it does

Weekly, scans for duplicate accounts and users, stale records, missing required fields, and abandoned data, then AI-suggests merges and cleanups and batches them into an approval queue for RevOps review.

You get

a continuous

scheduled data-hygiene program instead of a one-off cleanup

How it works

1

Turn cleanup into a routine

Create Workflow

A weekly scan of the CRM for hygiene problems that produces a structured cleanup queue, in place of the someday we should clean the CRM problem.

Produces:Workflow
2

Run it on Sunday night

configure_workflow_wait_until_step

The full audit runs overnight so the queue is ready on Monday. It skips itself if an audit finished within the last five days.

Produces:Step
3

Find the duplicates

configure_find_records_step

Accounts on the same domain, with similar names, or the same legal name formatted differently, and users on the same email or the same name and phone. Each candidate pair or group comes with a similarity score.

Produces:Step
4

Find the stale records

configure_find_records_step

Accounts with no activity for over a year that are not customers, users whose email bounced more than 90 days ago, and deals stuck in an early stage for over 180 days. Not all of these are deletions, some just need re-engaging, but they all bloat reporting and slow segmentation.

Produces:Step
5

Find the gaps

configure_find_records_step

Accounts missing industry, size or region, users missing a role or company, and deals missing a close date or an amount, grouped by what is missing so you can tell whether to enrich them or look by hand.

Produces:Step
6

Propose the merges

configure_ai_research_step

For each duplicate candidate: which record should survive, judged on how complete it is and how recently it was active, what to copy across from the other, and which conflicts a human has to settle, such as two different industry classifications. Every suggestion carries a confidence score.

Produces:Step
7

Send the queue for approval

configure_webhook_step

The merge and cleanup queue is handed to the bulk update review gate with the total findings, a summary per category, the spread of confidence and links to the records, so RevOps can approve the confident batch and handle the edge cases by hand.

Produces:Step
8

Report the week's hygiene

configure_slack_step

A post to the RevOps channel with the duplicate count, the stale count, the incompleteness rate and the movement week over week, saying plainly when completeness improved and when the stale pile is growing, which usually points at slow follow up upstream.

Produces:Step
9

Publish and watch the trend

publish_workflow

Validated and published, tracking that the weekly run completes, whether the pile of findings is growing, which points at problems further upstream, and how complete the CRM is after each cleanup.

Produces:Workflow

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In the words of50+ live tenants.

Jim Stromberg, CEO at StockInvest

We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.

Jim Stromberg

CEO, StockInvest

Eric Gardner, COO at FieldsUSA

Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy

With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.

Tadas Kertenis

Co-founder, Hoperfy

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